Author

Alessio Gagliardi

3 papers indexed here

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Preprint Sep 2026

Probabilistic Deep Learning Framework for Phase Transformation Forecasting aided by In Situ High temperature Microscopy

The mechanical performance of structural materials is governed by their microstructure, which is itself set by the thermal history imposed during processing. Predicting how that microstructure evolves along an arbitrary thermal trajectory, however, remains a challenging problem. Conventional continuous-cooling-transfor...

I. Kouroudis, Niki Balestrieri, S. Rotzsche et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Accelerated surrogate dynamics for dynamical, stochastic system evolution

This paper proposes a framework that combines a Variational Autoencoder, with a convolutional or graph basis that reduces the dimensionality of the system, and provides an inbuilt uncertainty quantification for targeted experiment design.

Marco Jochum, I. Kouroudis, G. Siddiqui et al. · 0 citations

Open access Jul 2026

Data-driven transfer learning across MOF-derived zirconia polymorphs

Despite extensive investigation of metal-organic framework (MOF) derived materials over the last 20 years, no systematic approach to predict the structural properties of the derived metal oxides is available. We present an integrated machine learning (ML) approach leveraging Smooth Overlap of Atomic Positions (SOAP) an...

David Gryc, I. Kouroudis, Pritam Banerjee et al. · npj Computational Materials · 1 citation